Responsible for designing, building, and deploying scalable and reliable data solutions on the Microsoft Azure, with focus on Azure Data Analytics services.
The ideal candidate should have extensive experience with Azure data technologies such as Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data bricks.
The candidate should also have a deep understanding of data modeling, data warehousing, ETL processes, and data analytics.
The Azure Data Analytics Engineer will work closely on understanding requirements & design data solutions meeting the needs.
Key Responsibilities:
Design, build and deploy data analytics solutions on the Azure cloud platform.
Develop ETL/ELT processes using Azure Data Factory, Azure Data bricks, Azure Synapse with focus on DataIngestion into lake.
Create and maintain data models and data warehouses on Azure SQL Database and Azure Synapse Analytics.
Develop and deploy data analytics and visualization solutions using Azure Synapse Analytics, Power BI, or similar tools.
Optimize data solutions for performance, scalability, and reliability.
Implement data security and privacy controls to protect data on the Azure platform.
Collaborating with stakeholders to understand their data analytics requirements and design solutions that meet their needs.
Requirements
Extensive experience with Azure data technologies such as Azure Data Factory, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks.
Deep understanding of data modeling, data warehousing, ETL processes, and data analytics.
Familiarity with data security and privacy controls on the Azure platform.
Programming languages i.,e Python(PySpark), SQL, and Scala.
Preferred Qualifications:
Certifications such as Azure Data Engineer/Azure Solutions Architect.
Knowledge with/of data visualization tools such as Power BI, Tableau, or similar.
Experience with latest technologies for data i.e., Kafka.
